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🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems.

The plan it took three rounds with Claude Code to settle, the file Codex left half-edited, the trade-off you decided in Cursor: each one is locked inside its own session.

This is the home of the Pi agent harness project including our self extensible coding agent.

Native Pi with a visual workspace, run controls, recovery, and agent teams.

Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis

Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.

An open-source chat interface that turns questions into explanations, comparisons, and working tools.

Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.

0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard.

An open-source template for persistent AI agents, each with its own computer. Available on Web and Mobile.

Low-level orchestration framework for building stateful agents.

0 is a production-ready, easy-to-use agent framework with essential abstractions that keep up with rising model capability.

Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent.

Agent-Native is an open-source TypeScript framework for building agents that pair autonomous work with a purpose-built UI. Define each capability once as an action: the agent uses it as a tool, and the UI calls it from code.

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

This repository is a comprehensive collection of 132 projects, tutorials, and recipes for building powerful LLM-powered applications, including text agents, voice assistants, RAG apps, and MCP-backed tools.

If you like the course, don't hesitate to ⭐ star this repository. This helps us to make the course more visible 🤗.

Build your own AI SRE agents. The open source toolkit for the AI era.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Deep Agents is an open source agent harness — an opinionated agent that runs out of the box. Extend, override, or replace any piece.

awaiting your command to forge order from chaos and build what was once thought impossible.

A curated list of open-source AI agent platforms: AI coworkers and teammates, agent builders and frameworks, workflow automation platforms, browser agents, and coding agents, with licenses.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

A curated AI Agent learning roadmap for people who want to build useful, reliable agents instead of collecting random links.

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

The open-source AI coding agent for your terminal, editor, desktop, browser, and chat.